GHSA-FGXJ-VFG7-CPQQ
Vulnerability from github – Published: 2026-06-25 09:31 – Updated: 2026-09-09 15:34
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
KVM: arm64: Take the SRCU lock for page table walks in fault injection and AT emulation
walk_s1() and kvm_walk_nested_s2() expect to be called while holding kvm->srcu to guard against memslot changes. While this is generally the case, __kvm_at_s12() and __kvm_find_s1_desc_level() call into the respective walkers without taking kvm->srcu.
Fix by acquiring kvm->srcu prior to the table walk in both instances.
Severity
8.8 (High)
{
"affected": [],
"aliases": [
"CVE-2026-53277"
],
"database_specific": {
"cwe_ids": [
"CWE-662",
"CWE-820"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-06-25T09:16:45Z",
"severity": "HIGH"
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\nKVM: arm64: Take the SRCU lock for page table walks in fault injection and AT emulation\n\nwalk_s1() and kvm_walk_nested_s2() expect to be called while holding\nkvm-\u003esrcu to guard against memslot changes. While this is generally\nthe case, __kvm_at_s12() and __kvm_find_s1_desc_level() call into the\nrespective walkers without taking kvm-\u003esrcu.\n\nFix by acquiring kvm-\u003esrcu prior to the table walk in both instances.",
"id": "GHSA-fgxj-vfg7-cpqq",
"modified": "2026-09-09T15:34:37Z",
"published": "2026-06-25T09:31:23Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-53277"
},
{
"type": "WEB",
"url": "https://access.redhat.com/errata/RHSA-2026:64775"
},
{
"type": "WEB",
"url": "https://access.redhat.com/security/cve/CVE-2026-53277"
},
{
"type": "WEB",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=2492725"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/97706097f9b851cfe55c3b00b083dfc2bcf542bc"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/ec42b4ed1b072ea2d03f086061aa67bad6d8de39"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/f2ca45b50d4216c9cc7ffabf50d9ad1932209251"
},
{
"type": "WEB",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-53277.json"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H",
"type": "CVSS_V3"
}
]
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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